http://www.bibsonomy.org/burst/user/dbenz_test/wwwBibSonomy BuRST Feed for /user/dbenz_test/www2008-08-21T05:26:14+02:00http://www.bibsonomy.org/bibtex/24b01e4d2cd9b20892adba7cc0e59929a/dbenz_testdbenz_test2008-02-19T09:25:47+01:00www background user_study bookmark informatin_space studienarbeit <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Abrams">Abrams</a> and Ron <a href="http://www.bibsonomy.org/author/Baecker">Baecker</a> </span><em>Proceedings of the CHI97: Conference on Human Factors in Computing Systems, </em><em>Atlanta, GA, USA, </em><em>March 22-271997. </em>Tue Feb 19 09:25:47 CET 2008Atlanta, GA, USAProceedings of the CHI97: Conference on Human Factors in Computing SystemsMarch 22-27How People Use WWW bookmarks1997www background user_study bookmark informatin_space studienarbeit In this detailed empirical study of WWW browsing and bookmarks we define a personal information space as having five basic properties paralleling those of a larger complex information space. We describe user behavior on the Web and show how a user's bookmark archive is a personal Web information space.http://www.bibsonomy.org/bibtex/2a6f8bc8281fc0b1695fbc6ec7915c8cc/dbenz_testdbenz_test2008-02-19T09:25:46+01:00information_space bookmark background studienarbeit www <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Abrams">Abrams</a> and Ronald <a href="http://www.bibsonomy.org/author/Baecker">Baecker</a> and Mark H. <a href="http://www.bibsonomy.org/author/Chignell">Chignell</a> </span><em>Proceedings of the SIGCHI conference on Human factors in computing systems, </em><em>page41-48. </em><em>New York, NY, USA, </em><em>ACM Press/Addison-Wesley Publishing Co., </em>(<em>1998</em>)Tue Feb 19 09:25:46 CET 2008New York, NY, USAProceedings of the SIGCHI conference on Human factors in computing systems41-48Information Archiving with Bookmarks: Personal Web Space Construction and Organization1998information_space bookmark background studienarbeit www Bookmarks are used as "personal Web information spaces" to help people remember and retrieve interesting Web pages. A study of personal Web information spaces surveyed 322 Web users and analyzed the bookmark archives of 50 Web users. The results of this study are used to address why people make bookmarks, and how they create, use, and organize them. Recommendations for improving the organization, visualization, representation, and integration of bookmarks are provided. The recommendations include simple mechanisms for filing bookmarks at creation time, the use of time-based visualizations with automated filters, the use of contextual information in representing bookmarks, and the combination of hierarchy formation and Web page authoring to aid in organizing and viewing bookmarks.http://www.bibsonomy.org/bibtex/26eac954669f840aa9a9841e7b83dea52/dbenz_testdbenz_test2008-02-19T09:25:44+01:00background studienarbeit navigation www revisitation <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Cockburn">Cockburn</a> and B. <a href="http://www.bibsonomy.org/author/McKenzie">McKenzie</a> </span><em>International Journal of Human-Computer Studies</em>(<em>2002</em>)Tue Feb 19 09:25:44 CET 2008International Journal of Human-Computer Studies903--922What do Web users do? An empirical analysis of Web use542002background studienarbeit navigation www revisitation This paper provides an empirical characterization of user actions at the web browser. The study is based on an analysis of 4 months of logged client-side data that describes user actions with recent versions of Netscape Navigator. In particular, the logged data allow us to determine the title, URL and time of each page visit, how often they visited each page, how long they spent at each page, the growth and content of bookmark collections, as well as a variety of other aspects of user interaction with the web. The results update and extend prior empirical characterizations of web use. Among the results we show that web page revisitation is a much more prevalent activity than previously reported (approximately 81% of pages have been previously visited by the user), that most pages are visited for a surprisingly short period of time, that users maintain large (and possibly overwhelming) bookmark collections, and that there is a marked lack of commonality in the pages visited by different users. These results have implications for a wide range of web-based tools including the interface features provided by web browsers, the design of caching proxy servers, and the design of efficient web sites.http://www.bibsonomy.org/bibtex/2f99a12a83dfaedd7c1f998a4c428e26d/dbenz_testdbenz_test2008-02-19T09:25:35+01:00widely_related revisitation studienarbeit www navigation history browser design <span style="color:#555555;">Shaun <a href="http://www.bibsonomy.org/author/Kaasten">Kaasten</a> and Saul <a href="http://www.bibsonomy.org/author/Greenberg">Greenberg</a> </span><em>CHI '01: CHI '01 extended abstracts on Human factors in computing systems, </em><em>page379--380. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2001</em>)Tue Feb 19 09:25:35 CET 2008New York, NY, USACHI '01: CHI '01 extended abstracts on Human factors in computing systems379--380Integrating back, history and bookmarks in web browsers2001widely_related revisitation studienarbeit www navigation history browser design Most Web browsers include Back, History and Bookmark facilities that simplify how people return to previously seen pages. While useful, these three facilities all operate on quite different underlying models, which undermines their usability. Our alternative revisitation system uses a single model of a recency-ordered history list to integrate Back, History and Bookmarks. Enhancements include: Back as a way to step through this list; implicit and explicit 'dog-ears' to mark pages on the list (replacing Bookmarks); searching/filtering the list through dynamic queries; and visual thumbnails to promote page recognition.http://www.bibsonomy.org/bibtex/2e15a613eaf855dde524f502499cfad58/dbenz_testdbenz_test2008-02-19T09:25:32+01:00closely_related bookmark_classification www studienarbeit <span style="color:#555555;">In-Cheol <a href="http://www.bibsonomy.org/author/Kim">Kim</a> </span><em>Intelligent Agents: Specification, Modeling, and Applications. 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001. Proceedings (Lecture Notes in Artificial Intelligence Vol.2132), </em><em>page210--21. </em><em>Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea, </em><em>Springer-Verlag, </em>(<em>2001</em>)Tue Feb 19 09:25:32 CET 2008Dept. of Comput. Sci., Kyonggi Univ., Suwon, South KoreaIntelligent Agents: Specification, Modeling, and Applications. 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001. Proceedings (Lecture Notes in Artificial Intelligence Vol.2132)210--21A personal agent for bookmark classification2001closely_related bookmark_classification www studienarbeit The World Wide Web has become a source of an enormous amount of information. Most Web browsers feature bookmarking facilities as a means to harness the vast Web space. Users record the URLs of the sites for future visits with bookmarks, but the organization and maintenance of the bookmark file costs users time and cognitive work. A personal agent is an automated program to which users can delegate often tedious or sophisticated tasks. We implemented a learning agent called BClassifier using the naive Bayesian learning method and we present our findings in this paperhttp://www.bibsonomy.org/bibtex/2aed0df6e449c07cd13b238a518612926/dbenz_testdbenz_test2008-02-19T09:25:30+01:00classification closely_related navigation studienarbeit personalization www <span style="color:#555555;">W. <a href="http://www.bibsonomy.org/author/Li">Li</a> and Q. <a href="http://www.bibsonomy.org/author/Vu">Vu</a> and E. <a href="http://www.bibsonomy.org/author/Chang">Chang</a> and D. <a href="http://www.bibsonomy.org/author/Agrawal">Agrawal</a> and Y. <a href="http://www.bibsonomy.org/author/Hara">Hara</a> and H. <a href="http://www.bibsonomy.org/author/Takano">Takano</a> </span><em>Proceedings of the Eighth International World-Wide Web Conference, </em><em>May1999. </em>Tue Feb 19 09:25:30 CET 2008Proceedings of the Eighth International World-Wide Web ConferenceMayPowerBookmarks: A System for Personalizable Web Information Organization1999classification closely_related navigation studienarbeit personalization www We extend the notion of bookmark management by introducing the functionali- ties of hypermedia databases. PowerBookmarks is a Web information organization, sharing, and management tool, which parses metadata from bookmarked URLs and uses it to index and classify the URLs. PowerBookmarks supports advanced query, classification, and navigation functionalities on collections of bookmarks. Power- Bookmarks monitors and utilizes users' access patterns to provide many useful per- sonalized services, such as automated URL bookmarking, document refreshing, and bookmark expiration. It also allows users to specify their preference in bookmark management, such as ranking schemes and classification tree structures. Subscrip- tion services for new or updated documents of users' interests are also supported.http://www.bibsonomy.org/bibtex/2f909bc2f43cc4a7e86d5b675944e24fd/dbenz_testdbenz_test2008-02-19T09:25:24+01:00navigation widely_related user_behaviour_analysis link_analysis www studienarbeit bookmark <span style="color:#555555;">Hajime <a href="http://www.bibsonomy.org/author/Takano">Takano</a> and Terry <a href="http://www.bibsonomy.org/author/Winograd">Winograd</a> </span><em>HYPERTEXT '98: Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems, </em><em>page297--298. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>1998</em>)Tue Feb 19 09:25:24 CET 2008New York, NY, USAHYPERTEXT '98: Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems297--298Dynamic bookmarks for the WWW1998navigation widely_related user_behaviour_analysis link_analysis www studienarbeit bookmark This paper describes a management tool to support revisiting WWW pages, which we call “WWW Dynamic Bookmark (WDB).” WDB watches and archives a user’s navigation behavior, analyses the archive, and shows analyzed results as clues for revisiting URLs. We have integrated link analysis and user behavior analysis to evaluate WWW page importance. WDB presents a list of sites that a user has visited, in importance order, via a landmark list in each site, and showing relationships among sites. Experimental implementation shows that importance calculation and structure displays help users to pick up useful URLs.